Ebook Parallel Programming in C with MPI and OpenMP, by Michael Quinn
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Parallel Programming in C with MPI and OpenMP, by Michael Quinn
Ebook Parallel Programming in C with MPI and OpenMP, by Michael Quinn
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The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters as the hardware platform of choice for an increasing number of organizations. This exciting new book, Parallel Programming in C with MPI and OpenMP addresses the needs of students and professionals who want to learn how to design, analyze, implement, and benchmark parallel programs in C using MPI and/or OpenMP. It introduces a rock-solid design methodology with coverage of the most important MPI functions and OpenMP directives. It also demonstrates, through a wide range of examples, how to develop parallel programs that will execute efficiently on today�s parallel platforms. . .
- Sales Rank: #1325716 in Books
- Published on: 2003-06-05
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.03" w x 7.00" l,
- Binding: Hardcover
- 544 pages
Most helpful customer reviews
0 of 0 people found the following review helpful.
Great book.
By Gldo
Very good explanations. It is useful even if you are programing in fortran and good reference book too. Not focused to any specific subject ie CFD , it explan everythin in a general form.
1 of 1 people found the following review helpful.
What it does, it does well
By M. Richards
I used this as a textbook for a parallel programming course in 2005. The author goes into a fair amount of detail about a number of different algorithms (e.g., fast fourier transforms, differential equations, sorting, alpha-beta pruning) rather than focusing exclusively on parallel programming constructs. I consider this a feature; the algorithms serve as good motivation and illustrations of the parallel programming concepts that are presented.
The summaries of the MPI commands in the appendix are as good as anything I've found on the web.
The book also gives detailed examples (code) of how to do mundane things like distributing the contents of a file across distributed memory processors and using your random number generator in such a way as to guarantee that your program produces the same results irrespective of the number of processors it runs on.
12 of 12 people found the following review helpful.
A good introductory book
By A Customer
I used this book in my parallel computing course. It is really a good introductory book on parallel programming. Some examples are given in the book. The first seven chapters discuss parallel algorithm design, MPI, examples on The sieve of Eratosthenes and Floyd's algorithm, and performance analysis. Some other topics that also covered (some of these may or may not have working examples) include the matrix-vector multiplication, Monte Carlo, matrix multiplication, solving linear systems, sorting, FFT, search, and finite difference methods. Since there are so many topics to be covered in a book of only 500 pages, the discussions on most of these topics are not very depth. Overall, I still recommend this book for beginners in parallel algorithm design.
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